Kartikeya Mandhar

About Kartikeya Mandhar

My goal? To bridge the gap between analytics and business impact, ensuring every insight translates into action. Hi, I’m Kartikeya, a data engineer who treats business challenges like complex puzzles, with insights as my master key. Over the past three years at Wipro, I’ve transformed raw information into strategic results - slashing data pipeline processing times by 50%, automating workflows for employees with 97% accuracy, and deploying ML models that predict machinery failures 20% faster. My philosophy? Understand the problem first, then let analytics drive the solution. I thrive in the trenches of ambiguity: refactoring code to boost speeds by 5x, designing systems that cut rollback time by 95%, or reverse-engineering how emission regulations reshape India’s second-hand car market. For me, analytics is about dissecting the “why” behind a business’s wins and losses and turning that clarity into action. When I’m not optimizing pipelines or debugging scripts, I volunteer as a mentor for youth from underserved communities, compete in hackathons, or geek out over chess strategies. Classic rock aficionado, pop culture enthusiast, or history buff? I’m always up for a lively debate, or a deep dive into everything from world-changing innovations to the quirks of human ambition. Looking to connect? Let’s talk about how “data-driven” can mean more than just a buzzword. Bonus points if you’re up for a chess match.

Experience

1. Project Engineer - Data Engineer

   Wipro

   Nov 2023 — Present

   Retained under Wipro AI solutions, and developed high-level end-to-end automation and Python solutions. • Formulating and delivering faultless automation scripts for Wipro HRSS to automate tasks catering to more than employees. • Devising Highly Scalable Python bots involving technologies such as Selenium, NLP, Chatbots, AWS, and Azure-OCR, with more than 97% accuracy and a robust error-handling system. • Developing Natural Language Learning Solutions with 94% accuracy and hosting docker containers on AWS to host the model and the script. • Understanding of requirements and creating technical specifications for Extract, Transform, Load (ETL) • Conceived multiple APIs and programmed a backend mechanism in the Django framework for 53 countries. • Reorganized HTTP communication between docker servers to collect data and run 3 different Python files enabling mass mailing and error reporting in an FAQ chatbot. • Revamped and redesigned laborious tasks with Python scripts to lessen work-load by more than 90% • Expedited excessive debugging and streamlined more than two sub-projects impacting 2500+ employees. • Evaluated heavily in Big Data and Cloud Technologies such as Amazon Web Services, Microsoft Azure, Apache Spark, MySQL, MongoDB as well as the Hadoop Environment. • Attained more than 10 professional certifications including the AWS Machine Learning Specialty certification.

Education

• Vellore Institute of Technology

  Bachelor of Technology

  2017 — 2021